Computational modeling of magnetic properties and glass forming ability of bulk amorphous materials
Acta Physica Polonica A, cilt.118, sa.5, ss.827-828, 2010 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Özet
- Cilt numarası: 118 Sayı: 5
- Basım Tarihi: 2010
- Doi Numarası: 10.12693/aphyspola.118.827
- Dergi Adı: Acta Physica Polonica A
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.827-828
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
A model based on artificial neural network was designed for the simulation and estimation of glass forming ability parameters and saturation magnetization and coercivity of bulk glassy alloys. Its performance is evaluated by the influences of different kinds of alloys and elements on the glass forming ability and magnetic properties. The values of glass forming ability parameters and saturation magnetization and coercivity values estimated by artificial neural network agree well with the experimental values, indicating that the model is reliable and adequate.